Boris Bonev

Researcher, Research, NVIDIA

Joined

July 2019

Names

Boris Bonev

Emails

****@tum.de (Confirmed)

****@gmail.com (Confirmed)

****@nvidia.com (Confirmed)

Personal Links

Career & Education History

Researcher

Research, NVIDIA (nvidia.com)

2023 – 2026

PhD student

Mathematics, EPFL - EPF Lausanne (epfl.ch)

2017 – 2021

Researcher

Computer Science, Technische Universität München (tum.de)

2016 – 2017

Advisors, Relations & Conflicts

Postdoc Advisor

Alexander Keller

2024 – 2026

Postdoc Advisor

Anima Anandkumar

2022 – 2023

PhD Advisor

Jan S. Hesthaven

2017 – 2021

Expertise

Machine Learning

Deep Learning

Statistical Learning

2021 – 2026

Scientific Machine Learning

2021 – 2026

Numerical Linear Algebra

Low Rank Approximation

Random Sampling

2018 – 2026

Numerical Algorithms

Numerical Methods for PDEs

2018 – 2026

Publications

Huge Ensembles Heatwave Forecasting over North Africa: Case Study of 3 Low-Likelihood, High-Impact Events.
Kwesi Twentwewa Quagraine, William D. Collins, Ankur Mahesh, Boris Bonev, Karthik Kashinath, Thorsten Kurth, Michael S Pritchard, Shashank Subramanian
- Crossref
- Readers: Everyone
Accelerating 3D Photoacoustic Computed Tomography with End-to-End Physics-Aware Neural Operators
Jiayun Wang, Yousuf Aborahama, Arya Khokhar, Yang Zhang, Chuwei Wang, Karteekeya Sastry, Julius Berner, Yilin Luo, Boris Bonev, Zongyi Li, Kamyar Azizzadenesheli, Lihong V. Wang, Anima Anandkumar
- CoRR 2025
- Readers: Everyone
Data-driven solar forecasting enables near-optimal economic decisions
Zhixiang Dai, Minghao Yin, Xuanhong Chen, Alberto Carpentieri, Jussi Leinonen, Boris Bonev, Chengzhe Zhong, Thorsten Kurth, Jingan Sun, Ram Cherukuri, Yuzhou Zhang, Ruihua Zhang, Farah Hariri, Xiaodong Ding, Chuanxiang Zhu, Dake Zhang, Yaodan Cui, Yuxi Lu, Yue Song, Bin He et al. (10 additional authors not shown)
- CoRR 2025
- Readers: Everyone
FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
Boris Bonev, Thorsten Kurth, Ankur Mahesh, Mauro Bisson, Jean Kossaifi, Karthik Kashinath, Anima Anandkumar, William D. Collins, Michael S. Pritchard, Alexander Keller
- CoRR 2025
- Readers: Everyone
Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning
Julius Berner, Miguel Liu-Schiaffini, Jean Kossaifi, Valentin Duruisseaux, Boris Bonev, Kamyar Azizzadenesheli, Anima Anandkumar
- CoRR 2025
- Readers: Everyone
Attention on the Sphere
Boris Bonev, Max Rietmann, Andrea Paris, Alberto Carpentieri, Thorsten Kurth
- CoRR 2025
- Readers: Everyone
A Practical Probabilistic Benchmark for AI Weather Models
Noah D. Brenowitz, Yair Cohen, Jaideep Pathak, Ankur Mahesh, Boris Bonev, Thorsten Kurth, Dale R. Durran, Peter Harrington, Michael S. Pritchard
- Geophysical Research Letters
- Readers: Everyone
Attention on the Sphere
Boris Bonev, Max Rietmann, Andrea Paris, Alberto Carpentieri, Thorsten Kurth
- NeurIPS 2025 poster
- Readers: Everyone
Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators
Ankur Mahesh, Shashank Subramanian, Peter Harrington, Jared D. Willard, Boris Bonev, Thorsten Kurth, Yair Cohen, Noah D Brenowitz
- arxiv
- Readers: Everyone
Application of the AI2 Climate Emulator to E3SMv2's Global Atmosphere Model, With a Focus on Precipitation Fidelity
James P. C. Duncan, Elynn Wu, Jean‐Christophe Golaz, Peter M. Caldwell, Oliver Watt‐Meyer, Spencer K. Clark, Jeremy McGibbon, Gideon Dresdner, Karthik Kashinath, Boris Bonev, Michael S. Pritchard, Christopher S. Bretherton
- Journal of Geophysical Research: Machine Learning and Computation
- Readers: Everyone

View all 45 publications

Co-Authors

View all 117 co-authors